Published Aug 10, 2021

SDS 495: Successful AI Projects and AI Startups — with Greg Coquillo

Greg Coquillo reveals success strategies for AI projects and startups, highlighting the AI maturity framework's role in aligning with business goals, alongside his contributions to the data science community and insights on quantum computing's industrial potential.
Episode Highlights
Super Data Science: ML & AI Podcast with Jon Krohn logo

Popular Clips

Episode Highlights

  • Success Framework

    Greg Coquillo introduces the AI maturity framework by Element AI, emphasizing its role in strategizing AI investments. He explains that the framework helps organizations evaluate their maturity level across various dimensions like strategy, technology, and governance 1. This evaluation is crucial for distinguishing between short-term deliverables and long-term strategic transformations.

    The first step to me to understand how AI can help you is one realize it's a tool that can be used amongst different tools. It requires a mindset, a culture mindset, change and culture that needs to start from the top.

    ---

    Jon Krohn notes that this framework answers audience questions about formulating a stable AI vision 2.

       

    Execution Strategies

    Greg highlights the importance of quick iteration and strategic alignment in executing AI projects. He emphasizes that startups need to balance moving fast with strategic planning to succeed 3. This involves understanding both long-term strategies and tactical execution to solve machine learning and business problems.

    Being quick on these tactics is what will get you above water as a startup up to future success.

    ---

    Greg also discusses common trade-offs in AI models, such as balancing speed and accuracy, and stresses the importance of understanding business risks associated with these trade-offs 4.

Related Episodes